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Data Visualization: Crafting Scatterplots in R Programming
This project utilizes R Markdown to analyze and visualize data from the United Nations Development Programme (UNDP), focusing on the Human Development Index (HDI) and the Corruption Perceptions Index (CPI) as key variables. The analysis involves essential R skills, including data wrangling with dplyr, data visualization with ggplot2, and reproducible reporting with R Markdown. Scatterplots are generated using ggplot2 to explore the relationship between HDI and CPI across various countries. The workflow includes data cleaning, transformation, and visualization to derive meaningful insights. The goal is to understand how development levels, as measured by HDI, correlate with perceived corruption levels (CPI). R Markdown is used to integrate the code, results, and interpretations into a cohesive and reproducible report.